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<span class="breadcrumb-node">Date nanoseconds datatype</span>
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<div class="section">
<div class="titlepage"><div><div>
<h2 class="title">
<a id="date_nanos"></a>Date nanoseconds datatype<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/7.7/docs/reference/mapping/types/date_nanos.asciidoc">edit</a>
</h2>
</div></div></div>

<p>This datatype is an addition to the <code class="literal">date</code> datatype. However there is an
important distinction between the two. The existing <code class="literal">date</code> datatype stores
dates in millisecond resolution. The <code class="literal">date_nanos</code> data type stores dates
in nanosecond resolution, which limits its range of dates from roughly
1970 to 2262, as dates are still stored as a long representing nanoseconds
since the epoch.</p>
<p>Queries on nanoseconds are internally converted to range queries on this long
representation, and the result of aggregations and stored fields is converted
back to a string depending on the date format that is associated with the field.</p>
<p>Date formats can be customised, but if no <code class="literal">format</code> is specified then it uses
the default:</p>
<pre class="literallayout">"strict_date_optional_time||epoch_millis"</pre>

<p>This means that it will accept dates with optional timestamps, which conform
to the formats supported by
<a class="xref" href="mapping-date-format.html#strict-date-time"><code class="literal">strict_date_optional_time</code></a> including up to nine second
fractionals or milliseconds-since-the-epoch (thus losing precision on the
nano second part).</p>
<p>For instance:</p>
<div class="pre_wrapper lang-console">
<pre class="programlisting prettyprint lang-console">PUT my_index?include_type_name=true
{
  "mappings": {
    "_doc": {
      "properties": {
        "date": {
          "type": "date_nanos" <a id="CO293-1"></a><i class="conum" data-value="1"></i>
        }
      }
    }
  }
}

PUT my_index/_doc/1
{ "date": "2015-01-01" } <a id="CO293-2"></a><i class="conum" data-value="2"></i>

PUT my_index/_doc/2
{ "date": "2015-01-01T12:10:30.123456789Z" } <a id="CO293-3"></a><i class="conum" data-value="3"></i>

PUT my_index/_doc/3
{ "date": 1420070400 } <a id="CO293-4"></a><i class="conum" data-value="4"></i>

GET my_index/_search
{
  "sort": { "date": "asc"} <a id="CO293-5"></a><i class="conum" data-value="5"></i>
}

GET my_index/_search
{
  "script_fields" : {
    "my_field" : {
      "script" : {
        "lang" : "painless",
        "source" : "doc['date'].value.nano" <a id="CO293-6"></a><i class="conum" data-value="6"></i>
      }
    }
  }
}

GET my_index/_search
{
  "docvalue_fields" : [
    {
      "field" : "date",
      "format": "strict_date_time" <a id="CO293-7"></a><i class="conum" data-value="7"></i>
    }
  ]
}</pre>
</div>
<div class="console_widget" data-snippet="snippets/625.console"></div>
<div class="calloutlist">
<table border="0" summary="Callout list">
<tr>
<td align="left" valign="top" width="5%">
<p><a href="#CO293-1"><i class="conum" data-value="1"></i></a></p>
</td>
<td align="left" valign="top">
<p>The <code class="literal">date</code> field uses the default <code class="literal">format</code>.</p>
</td>
</tr>
<tr>
<td align="left" valign="top" width="5%">
<p><a href="#CO293-2"><i class="conum" data-value="2"></i></a></p>
</td>
<td align="left" valign="top">
<p>This document uses a plain date.</p>
</td>
</tr>
<tr>
<td align="left" valign="top" width="5%">
<p><a href="#CO293-3"><i class="conum" data-value="3"></i></a></p>
</td>
<td align="left" valign="top">
<p>This document includes a time.</p>
</td>
</tr>
<tr>
<td align="left" valign="top" width="5%">
<p><a href="#CO293-4"><i class="conum" data-value="4"></i></a></p>
</td>
<td align="left" valign="top">
<p>This document uses milliseconds-since-the-epoch.</p>
</td>
</tr>
<tr>
<td align="left" valign="top" width="5%">
<p><a href="#CO293-5"><i class="conum" data-value="5"></i></a></p>
</td>
<td align="left" valign="top">
<p>Note that the <code class="literal">sort</code> values that are returned are all in
nanoseconds-since-the-epoch.</p>
</td>
</tr>
<tr>
<td align="left" valign="top" width="5%">
<p><a href="#CO293-6"><i class="conum" data-value="6"></i></a></p>
</td>
<td align="left" valign="top">
<p>Access the nanosecond part of the date in a script</p>
</td>
</tr>
<tr>
<td align="left" valign="top" width="5%">
<p><a href="#CO293-7"><i class="conum" data-value="7"></i></a></p>
</td>
<td align="left" valign="top">
<p>Use doc value fields, which can be formatted in nanosecond
resolution</p>
</td>
</tr>
</table>
</div>
<p>You can also specify multiple date formats separated by <code class="literal">||</code>. The
same mapping parameters than with the <code class="literal">date</code> field can be used.</p>
<div class="section">
<div class="titlepage"><div><div>
<h3 class="title">
<a id="date-nanos-limitations"></a>Limitations<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/7.7/docs/reference/mapping/types/date_nanos.asciidoc">edit</a>
</h3>
</div></div></div>
<p>Aggregations are still on millisecond resolution, even when using a <code class="literal">date_nanos</code>
field. This limitation also affects <a class="xref" href="transforms.html" title="Transforming data">transforms</a>.</p>
</div>

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